Comprehensive Analysis of Negative Sampling in Knowledge Graph
Representation Learning

Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning

21 June 2022

Hidetaka Kamigaito

Katsuhiko Hayashi

Papers citing "Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning"

4 / 4 papers shown

Title
Predicting clinical outcomes from patient care pathways represented with temporal knowledge graphs Jong Ho Jhee Alberto Megina Pacôme Constant Dit Beaufils Matilde Karakachoff Richard Redon Alban Gaignard Adrien Coulet 60 0 0 28 Feb 2025
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning Long Jin Zhen Yao Mingyang Chen Hua-zeng Chen Wen Zhang 19 3 0 15 Aug 2023
Subsampling for Knowledge Graph Embedding Explained Hidetaka Kamigaito Katsuhiko Hayashi 20 2 0 13 Sep 2022
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 317 31,297 0 16 Jan 2013